An Expert System for Academic Staff Evaluation
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التاريخ
عنوان الدورية
ردمد الدورية
عنوان المجلد
الناشر
International Journal of Computer Applications
خلاصة
Academic staff evaluation is vital for faculty growth, enhancing education quality, and ensuring accountability. Regular evaluations contribute to faculty retention, career progression, institutional planning, and external accreditation processes, promoting transparency and stakeholder confidence. Validity and reliability are two crucial factors to take into account when evaluating a questionnaire's quality. An expert system for academic staff evaluation can provide valuable assessment and evaluation by utilizing a rule-based system, gathered data from sources like student evaluations, peer reviews, and self-assessments, and providing a comprehensive report with feedback and recommendations. This paper proposes an expert system for academic staff evaluation utilizing data warehouse and data mining technologies